All Work Published on Regulation, Policy, Governance
Domain Shift and Emerging Questions in Facial Recognition Technology
This brief urges transparent, verifiable standards for facial-recognition systems and calls for a moratorium on government use until rigorous in-domain testing frameworks are established.
This brief urges transparent, verifiable standards for facial-recognition systems and calls for a moratorium on government use until rigorous in-domain testing frameworks are established.
Inside Trump’s Ambitious AI Action Plan
The White House favors market-driven growth and light governance, signaling a departure from the previous administration.
The White House favors market-driven growth and light governance, signaling a departure from the previous administration.
This issue brief series examines how technology will impact public debate, affect the electoral process, and may even determine the election outcome.
This issue brief series examines how technology will impact public debate, affect the electoral process, and may even determine the election outcome.
In this video, HAI Co-Director Fei-Fei Li discusses ethical development of artificial intelligence and the challenge of establishing effective regulations. She addresses government funding of research, diversity in science, and ensuring child safety as AI advances.
In this video, HAI Co-Director Fei-Fei Li discusses ethical development of artificial intelligence and the challenge of establishing effective regulations. She addresses government funding of research, diversity in science, and ensuring child safety as AI advances.
Evaluating Facial Recognition Technology: A Protocol for Performance Assessment in New Domains
This white paper provides research- and scientifically-grounded recommendations for how to give context to calls for testing the operational accuracy of facial recognition technology.
This white paper provides research- and scientifically-grounded recommendations for how to give context to calls for testing the operational accuracy of facial recognition technology.
Fei-Fei Li, ‘Godmother Of AI,’ Points To Risks Of Cuts To US Research Funds, Student Visas
Fei-Fei Li, co-director of Stanford HAI, emphasized the risks of cutting research funding and international student visas to the US as it faces an increasingly competitive global tech race.
Fei-Fei Li, co-director of Stanford HAI, emphasized the risks of cutting research funding and international student visas to the US as it faces an increasingly competitive global tech race.